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Genetics
Germany
2024
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Genetics and Molecular Biology
Germany
2024

D-Index & Metrics

Genetics

D-Index
108
Citations
55728
World Ranking
563
National Ranking
45

Burkhard Rost publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Burkhard Rost sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 487 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Burkhard Rost D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Burkhard Rost sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 108 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2024 - Research.com Genetics in Germany Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in Germany Leader Award
  • 2023 - Research.com Genetics in Germany Leader Award

Overview

Burkhard Rost is affiliated with the Technical University of Munich in Germany and focuses on research mainly within the domain of Biochemistry, Genetics, and Molecular Biology. Their work emphasizes Molecular Biology as the primary subfield, alongside contributions to Genetics, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence.

The research topics Burkhard Rost has addressed include:

  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Protein Structure and Dynamics
  • Bioinformatics and Genomic Networks
  • Genetics, Bioinformatics, and Biomedical Research
  • Enzyme Structure and Function

Several recent publications illustrate the scope of Rost's research output. These include:

  • "ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning," 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "PredictProtein - Predicting Protein Structure and Function for 29 Years," 2021, Nucleic Acids Research
  • "ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing," 2020, arXiv (Cornell University)
  • "Embeddings from deep learning transfer GO annotations beyond homology," 2021, Scientific Reports
  • "Embeddings from protein language models predict conservation and variant effects," 2021, Human Genetics

Burkhard Rost collaborates frequently with other researchers. Notable coauthors include:

  • Michael Heinzinger
  • Christian Dallago
  • Maria Littmann
  • Martin Steinegger
  • Tobias Olenyi

Regarding publication venues, Rost has contributed extensively to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Scientific Reports
  • arXiv (Cornell University)
  • BMC Bioinformatics

Best Publications

  • The Transcriptional Landscape of the Mammalian Genome

    P. Carninci;T. Kasukawa;S. Katayama;J. Gough

  • Prediction of protein secondary structure at better than 70% accuracy.

    Burkhard Rost;Chris Sander

  • Twilight zone of protein sequence alignments.

    Burkhard Rost

  • Combining evolutionary information and neural networks to predict protein secondary structure.

    Burkhard Rost;Chris Sander

  • The PredictProtein server

    Burkhard Rost;Guy Yachdav;Jinfeng Liu

  • PHD: predicting one-dimensional protein structure by profile-based neural networks.

    Burkhard Rost

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • A Mutation in VPS35, Encoding a Subunit of the Retromer Complex, Causes Late-Onset Parkinson Disease

    Alexander Zimprich;Anna Benet-Pagès;Walter Struhal;Elisabeth Graf

  • Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

    Gianluca Pollastri;Darisz Przybylski;Burkhard Rost;Pierre Baldi

  • SNAP: predict effect of non-synonymous polymorphisms on function

    Yana Bromberg;Burkhard Rost

  • Topology prediction for helical transmembrane proteins at 86% accuracy.

    Burkhard Rost;Piero Fariselli;Rita Casadio

  • PHD - AN AUTOMATIC MAIL SERVER FOR PROTEIN SECONDARY STRUCTURE PREDICTION

    Burkhard Rost;Chris Sander;Reinhard Schneider

  • Finding nuclear localization signals.

    Murat Cokol;Rajesh Nair;Burkhard Rost

  • Conservation and prediction of solvent accessibility in protein families

    Burkhard Rost;Chris Sander

  • Review: protein secondary structure prediction continues to rise.

    Burkhard Rost

  • A draft network of ligand–receptor-mediated multicellular signalling in human

    Jordan A. Ramilowski;Tatyana Goldberg;Jayson Harshbarger;Edda Kloppmann

  • Improved prediction of protein secondary structure by use of sequence profiles and neural networks

    Burkhard Rost;Chris Sander

  • Transmembrane helices predicted at 95% accuracy

    Burkhard Rost;Rita Casadio;Piero Fariselli;Chris Sander

  • PredictProtein—an open resource for online prediction of protein structural and functional features

    Guy Yachdav;Edda Kloppmann;Laszlo Kajan;Maximilian Hecht

  • Three-dimensional structures of membrane proteins from genomic sequencing.

    Thomas A. Hopf;Lucy J. Colwell;Robert Sheridan;Burkhard Rost

Frequent Co-Authors

Gaetano T. Montelione
Gaetano T. Montelione Rensselaer Polytechnic Institute
Rong Xiao
Rong Xiao Rutgers, The State University of New Jersey
Jinfeng Liu
Jinfeng Liu Genentech
Chris Sander
Chris Sander Harvard University
Thomas Szyperski
Thomas Szyperski University at Buffalo, State University of New York
James H. Prestegard
James H. Prestegard University of Georgia
Michal Linial
Michal Linial Hebrew University of Jerusalem
Christine A. Orengo
Christine A. Orengo University College London
Reinhard Schneider
Reinhard Schneider University of Luxembourg
David T. Jones
David T. Jones University College London

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